Chapter 6 · 7 levels

KPI design and dashboards

North star and guardrail metrics, denominators, time windows, seasonality and year-over-year comparisons, the averaging trap, and a monthly KPI sheet for Harbor & Pine's leadership team.

Start

By now you can compute every metric a store runs on. This chapter is about choosing them and defining them so they cannot mislead the people who read them every week.

A KPI is a number plus a definition: what is counted, divided by what, over which window, compared with which period. Change any of those four and the same data tells a different story. Harbor & Pine’s own numbers show it: a return rate that falls or rises depending on the denominator, an October that looks 39% down because it is half over, a November that is 66% up on October and 8% down on last November, and an average order value that drops by $68 when it is averaged the wrong way.

You start with the top of the sheet: one north star metric and the guardrails that stop it from being gamed. Then denominators, time windows, seasonality and year-over-year comparisons, two traps in quiz form, and a boss that builds the monthly KPI sheet the leadership team reads.

The house definitions from chapter 1 still hold: booked orders are completed or refunded, lines need quantity > 0, net sales are after discounts, and net revenue is net sales minus refunds.

Levels

  1. One north star, a few guardrails

    from Catherine Hale, Chief Executive Officer

    north star metric, guardrail metrics, kpi design, goodhart

    Quiz Difficulty 2 of 5 Not started

  2. Three return rates, one dataset

    from Angela Rivera, Head of Customer Support

    return rate, denominator, kpi definition, count distinct, filter clause

    Code Difficulty 3 of 5 Not started

  3. Half a month is not a bad month

    from Robert Kim, Chief Operating Officer

    time window, month to date, trailing window, partial period, kpi definition

    Code Difficulty 3 of 5 Not started

  4. November is always up

    from Megan Collins, Head of Sales

    yoy, mom, seasonality, lag, window functions, kpi definition

    Code Difficulty 3 of 5 Not started

  5. Two AOVs from the same orders

    from Laura Bennett, Head of Finance

    aov, average of ratios, ratio of averages, weighting, metric traps

    Quiz Difficulty 3 of 5 Not started

  6. December's suspiciously good return rate

    from Priya Shah, Head of Data

    kpi definition, data maturity, right censoring, return rate, partial period

    Quiz Difficulty 3 of 5 Not started

  7. Boss: the monthly KPI sheet

    from Catherine Hale, Chief Executive Officer

    kpi sheet, net revenue, aov, return rate, conversion rate, yoy, guardrail metrics, data maturity

    Boss · 4 steps Difficulty 4 of 5 Not started

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